Islamabad, Pakistan
October 08-10, 2018

Keynote Speakers

Title: Transactive Energy in Networked Microgrids for Enhancing the Resilience, Reliability, Security, and Economics of Distributed Electric Power Systems

Abstract:
Microgrids represent a small-scale version of centralized electric power systems, which are established in load centers like universities, hospitals, airports, military bases, and residential areas for enhancing the resilience, reliability, security, and economics of distributed power systems. Networked microgrids provide a robust control of integrated renewable resources and battery storage in energy-constrained communities and allow customer participations in the operation of critical infrastructures. With the increasing penetration of distributed energy resources and the proliferation of microgrids, transactive energy is considered as an enabler of end-to-end energy trading and coordinated operations among microgrids for lowering the energy costs in power distribution systems.

Prof. Dr. Mohammad Shahidehpour
IEEE Fellow
Bodine Chair Professor, ECE
Director of the Robert W. Galvin Center for Electricity Innovation
Illinois Institute of Technology, Chicago, USA
However, transactive energy trading poses new operation challenges, which are managed by distribution system operators (DSOs) as networked microgrids interact with power distribution systems. The role of networked microgrid in distribution system operation is discussed in this presentation. The presentation discusses a bi-level framework to conceive an optimal trading strategy in the hierarchical operation of DSOs. The upper level operation considers a transactive energy market where networked microgrids participate to trade energy locally. The trading results are submitted to the lower level in which the DSO optimizes the distribution power flow and the distribution network reconfiguration. The proposed solution enables transactive energy trading decisions by networked microgrids and effective distributed energy market clearing by DSO. Case studies show the applications of the proposed framework and algorithm in the power distribution system operation.

Speaker Biography:
Dr. Mohammad Shahidehpour is a University Distinguished Professor, Bodine Chair Professor of Electrical and Computer Engineering, and Director of the Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology (IIT). He has also been the Principal Investigator of several research grants on power system operation and control. His project on Perfect Power Systems has converted the entire IIT Campus to an Islandable Microgrids. His CSMART (Center for Smart Grid Applications, Research, and Technology) at IIT has promoted the smart grid cybersecurity research for managing the resilience of wireless networked communication and control systems in smart cities. His SPIKE initiative facilitated the design and the implementation of affordable microgrids in impoverished nations. He is the recipient of the 2009 honorary doctorate from the Polytechnic University of Bucharest. Dr. Shahidehpour was the recipient of the IEEE Burke Hayes Award for his research on hydrokinetics, IEEE/PES Outstanding Power Engineering Educator Award, IEEE/PES Douglas M. Staszesky Distribution Automation Award, and the Edison Electric Institute’s Power Engineering Educator Award. He has co-authored 6 books and 550 technical papers on electric power system operation and planning, and served as the founding Editor-in-Chief of the IEEE Transactions on Smart Grid. Dr. Shahidehpour is a Fellow of IEEE, Fellow of the American Association for the Advancement of Science (AAAS), Fellow of the National Academy of Inventors (NAI) and a member of the US National Academy of Engineering (NAE).
 

Title: Design and Validation of Cloud Storage Systems using Formal Methods

Abstract:
To deal with large amounts of data while offering high availability and  throughput and low latency, cloud computing systems rely on distributed, partitioned, and replicated data stores. Such cloud storage systems are complex software artifacts that are very hard to design and analyze. The focus of the talk would be on presenting rewriting logic and its accompanying Maude tools as a suitable framework for formally specifying and analyzing both the correctness and the performance of cloud storage systems. This talk gives an overview of the use of rewriting logic at the University of Illinois' Assured Cloud Computing center on industrial data stores such as Google's Megastore and Facebook/Apache's Cassandra. The presenter would also  briefly summarize the experiences of the use of a different formal methods for similar purposes by engineers at Amazon Web Services.

Prof. Dr. Peter Csaba Ölveczky
University of Oslo
Norway
.

Speaker Biography:

Title: Adaptive Scheduling of Big Data for Cloud based Smart City Services

Abstract:
The smart city concept integrates information and communication technology (ICT), and various physical devices connected to the network (Internet of things or IoT) to optimize the efficiency of city operations and services and connect to citizens. This concept is based on several platforms and technologies such as cloud-based services, use of smart phones, networks of sensors and RFIDs, etc. The development of a smart city, however, confronts several challenges from the technological perspective. In particular, the handling of Big Data (storage, management, fusion, consistency, trustworthiness) in a smart city context becomes significant. In fact, the processing of such large data requires efficient computing clusters that cater for the complexity and dynamic nature of the cloud.

Prof. Dr. Sofiene Tahar,
Concordia University
Canada
Existing cloud based frameworks, such as Hadoop or Spark, still generate poor scheduling decisions leading to tasks' failures due to unforeseen events. In this talk, we present a new artificial intelligence based adaptive failure-aware scheduling of big data to early detect failures and to reschedule tasks according to changes in the cloud. For the detection of tasks' failures, we use machine learning algorithms trained on previously executed tasks. To improve cloud scheduling decisions, we use reinforcement learning techniques to select an appropriate scheduling action for a scheduled task. Furthermore, we use model checking to formally identify the impact of the scheduling decisions on the failures rates in the cloud and to provide possible strategies to avoid their occurrence. To illustrate the usefulness of the proposed adaptive failure-aware big data scheduling, we apply it on OpenCloud, a Hadoop-based cluster.

Speaker Biography:

Title: The Holy Grail of the Knowledge Economy – A University Perspective

Abstract
There shall be three major intertwined ideas or themes in this talk. Firstly, a modified and innovative information pyramid will be presented which more clearly identifies levels of abstraction suitable for understanding the production and usage of intellectual capital. Secondly, a model of the knowledge economy will be presented which is based on the model/process of intellectual capital generation/usage presented earlier. The role of a university in the knowledge economy shall be identified. Lastly, and most importantly, a real-world enterprise information system architecture for public universities which is feature rich, cost effective, scalable and built using large number of loosely coupled best of breed open source building blocks and integrated using a few custom-built applications will be presented. It will be demonstrated how the proposed enterprise information system architecture can help produce quality human capital in a scalable way. The talk will also elaborate on how such an information system architecture supports the various levels of the proposed information pyramid and how it may be used to realize a good quality medium to large public sector university in a short period of time with extremely low monetary cost to the university itself. The participants will benefit by getting clarity on the various psycho-physiological processes and physical devices involved in the process of intellectual capital generation and usage. In a nutshell the talk aims to explain the holy grail of the knowledge economy from a university’s perspective. The take away for HONET participants shall be the enhanced ability to see high speed optical networks as trees in the forest of the knowledge economy.

Dr. Athar Mahboob
Vice Chancellor,
Khwaja Fareed University of Engineering and IT,
Pakistan
It will be demonstrated how the proposed enterprise information system architecture can help produce quality human capital in a scalable way. The talk will also elaborate on how such an information system architecture supports the various levels of the proposed information pyramid and how it may be used to realize a good quality medium to large public sector university in a short period of time with extremely low monetary cost to the university itself. The participants will benefit by getting clarity on the various psycho-physiological processes and physical devices involved in the process of intellectual capital generation and usage. In a nutshell the talk aims to explain the holy grail of the knowledge economy from a university’s perspective. The take away for HONET participants shall be see high speed optical networks as trees in the forest of the knowledge economy.

Speaker Biography:
Dr. Athar Mahboob is currently the Vice Chancellor of Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan. Dr. Athar Mahboob obtained his PhD in Electrical Engineering from National University of Sciences & Technology, Pakistan in 2005 and obtained BS and MS degrees in Electrical Engineering both from Florida State University, Tallahassee, Florida, USA in 1992 and 1995, respectively. Dr. Athar Mahboob's research interests have been in the area of efficient implementation of cryptographic algorithms in hardware and software environments as well as enterprise cyber security and mobile adhoc networks (MANETs). His PhD research was focused on efficient implementation of Elliptic Curve Cryptography, an area in which he has obtained a number of international publications. Dr. Athar Mahboob is also a renowned specialist in implementing Enterprise Information Services using Linux, Information Security and Cryptology, Computer Networks and Internetworking using TCP/IP Protocols, Digital Systems Design and Computer Architectures. In addition to teaching and research, over the last 25 years Dr. Athar Mahboob has performed IT Consultancy assignments for many reputable organizations in the public and private sectors. His consultancy assignments have included PTCL, Pakistan Security Printing Corporation, Peoples' Steel Mills, Institute of Bankers, Pakistan, EFU General Insurance, Dubai Chamber of Commerce and Industry and many others. In addition, Dr. Athar Mahboob founded Ibn Khaldun Systems in 2005 and has undertaken more than 100 industrial projects in the financial, manufacturing, services and military sectors.
Having been fully involved with both industrial and academic environments has allowed Dr. Athar Mahboob to educate, train and mentor student engineers in real-world engineering problem solving. He has been the favorite teacher and career coach for literally thousands of his students and colleagues over the last 25 years. Dr. Athar Mahboob considers his in-depth understanding of and simultaneous deep involvement with Pakistani academia and industry as his major strength. Based on his contributions to Science, Engineering & Technology education, Dr. Athar Mahboob was decorated with the civil award of Tamgha-e-Imtiaz (Medal of Distinction) by the President of Pakistan on 14 August 2012.

Title: Nano-Biosensor Systems in Clinical Diagnosis and Physiological Monitoring Networks

Abstract
We are all acutely aware of the following innate biological sensor for the quantification of carbon-dioxide. This biological sensing mechanism regulates the respiration. It also warns the biological system of threats to the innate metabolic activities. The sensing of carbon dioxide in respiration is the combined response to chemical, hormonal and neural stimuli of specific receptor cells: chemoreceptors. These chemoreceptors are in various locations in the anatomy, specifically in the medulla oblongata of the brain stem, and additional locations in the carotid and aortic body of the cardiovascular system. These chemoreceptors determine the “oxygen” level, primarily indirectly by means of deriving the carbon-dioxide byproduct of the metabolism with a resulting pH due to carbonic acid formation.

Dr. Robert Splinter
Manager Advanced Technology Development
Wellinq Medical
Leek, The Netherlands
Another specific biological sensing mechanism active in the human body, as well as other mammals, is designed to measure blood pressure in critical locations of organs. In biological applications sensing can be used to quantify a physiologic or metabolic process, recognize a pathological condition, or respectively determine chemical assaults, such as poisons, bacteria and viruses. An additional illustration of innate biological sensing is the caloric assessment for the regulation of body temperature for various critical organs. The body temperature is regulated and controlled by the hypothalamus, in the brain. Biometric sensing using artificial devices can obtain information with respect to the following 5 parametric results:
• chemical composition: mixture of molecules (including oxygenated hemoglobin)
• chemical constituents (e.g. pH (specifically ))
• physical attributes (e.g. pressure)
• changes in properties (e.g. fermentation, activity\dormancy)
• chemical species selective membrane construction: ionophores

Speaker Biography:
Robert Splinter, Manger Advanced Technology with the Wellinq Medical corporation; Leek, The Netherlands; engineer, and scientist. Dr. Splinter has been involved in medical device development and manufacturing for more than 30 years. Efforts involved resolving technological feasibility and validation in innovative diagnostic techniques and clinical treatment methods using the broad multidisciplinary confluence of biology, engineering and applied physics.
Next to working in the established medical diagnostic industry, Robert Splinter has cofounded several companies in medical diagnostics and sensor technology, both in biomedical engineering and in industrial application. He has also worked for several reputable metrology companies and medical device companies. In addition, Dr. Splinter has also worked in clinically applied settings, using the full theoretical and practical knowledge of physics, electrical engineering, biomedical and mechanical engineering, chemistry, as well as physiology and biology, applied directly to benefit the health and quality of life of patients in a range of countries. Dr. Splinter is an associate professor (Adj.) in the Department of Physics at the University of North Carolina at Charlotte, Charlotte, NC; USA.

Invited Speakers

Title: UAVs as a Service (UaaS) for Wireless Networks

Abstract
Unmanned Aerial Vehicles (UAVs) have been used in military domains for many years. Recently, they have found many applications in civilian domains, and the number of these applications is expected to grow with UAVs being integrated in society. One area in which UAVs are gaining popularity in is Information and Communications Technology (ICT). This is due to their high flexibility for on-demand deployment and their ability to be equipped with communications, networking and computational devices. Several leading ICT companies have launched pilot projects with the objective of providing connectivity from the sky. These innovative efforts are paving the way for a generic notion of UAVs as a Service (UaaS) where a variety of UAV-based applications could be developed.

Dr. Ahmed E. Kamal
IEEE Fellow
Prof. ECE,
Iowa State University, Ames, IA, USA
This talk will focus on the services provided by UAVs for applications supported by wireless communications and networking, which we refer to as UaaS for wireless networks. In this case UAVs can provide the services of basestations, access points, relay stations, data collectors, etc. They can also assist in recovery from different wireless networks component failures. We will provide an overview of the state-of-the-art and the new developments in this domain in which UAVs enhance the wireless networking function, or support applications that use wireless networking.

Speaker Biography:
Ahmed E. Kamal (S'82-M'87-SM'91-F'12) is a professor and director of graduate education in the Electrical and Computer Engineering Department at Iowa State University in the USA. He received a B.Sc. (distinction with honors) and an M.Sc. both from Cairo University, Egypt, and an M.A.Sc. and a Ph.D. both from the University of Toronto, Canada, all in Electrical Engineering. He is a Fellow of the IEEE and a senior member of the Association of Computing Machinery. He was an IEEE Communications Society Distinguished Lecturer for 2013 and 2014.
Kamal's research interests include cognitive radio networks, wireless networks, wireless sensor networks, optical networks and performance evaluation. He received the 1993 IEE Hartree Premium for papers published in Computers and Control in IEE Proceedings, and the best paper award of the IEEE Globecom 2008 Symposium on Ad Hoc and Sensors Networks Symposium. He also received the 2016 Outstanding Technical Achievement Award from the Optical Networks Technical Committee of the IEEE Communications Society.
Kamal chaired or co-chaired Technical Program Committees of several IEEE sponsored conferences including the Optical Networks and Systems Symposia of the IEEE Globecom 2007 and 2010, the Cognitive Radio and Networks Symposia of the IEEE Globecom 2012 and 2014, and the Access Systems and Networks track of the IEEE International Conference on Communications 2016. He was also the chair of the IEEE Communications Society Technical Committee on Transmission, Access and Optical Systems (TAOS) for 2015 and 2016. He is on the editorial boards of the IEEE Communications Magazine, the Computer Networks journal, the Optical Switching and Networking journal and the Arab Journal of Science and Technology.


Title: IoT (Internet of Things) Smart City Applications

Abstract
IoT (Internet of Things) brings objects and sensors in automated and autonomous ways together to help facilitate services in the smart cities. IoT envisages a world in which devices take independent decisions for reaching a predefined goal with minimal human intervention. Smart cities are poised to take advantage of IoT in implementing essential services such as urgent care, waste collection, waste disposal and transportation. In this talk, we will present an introduction of IoT, its challenges, issues and then look into two of our research projects that deal with using IoT in real life applications. The first project is about setting up an emergency and disaster patient management system through which the patient data can be transferred from disaster site to the hospital in real time and patients can be assigned to specific physicians and hospitals. Our second project deals with converting the dumpsters into smart signaling dumpsters that can provide information about the contents to the municipal authority in advance. The route planning and vehicle dispatch can be automated and based on demand, thus cutting down unnecessary expenditures. We will highlight current and future issues to be considered in these projects.

Dr. Junaid Zubairi
Prof. CIS,
SUNY Fredonia, NY, USA


Dr. Imran Mehmood
Dept of Computing,
NUST-SEECS, Islamabad, Pakistan
.

Speaker Biography:
Junaid Ahmed Zubairi received his BE (Electrical Engineering) from NED University of Engineering, Pakistan and MS and Ph.D. (Computer Engineering) from Syracuse University, USA. He worked in Sir Syed University Pakistan and Intl' Islamic University Malaysia before joining State University of New York at Fredonia, USA in 1999 where currently he is a Professor in the Department of Computer and Information Sciences. Dr. Zubairi is a recipient of many grants and awards including Malaysian Government IRPA research award($62k), NSF MACS grant($400k) and multiple SUNY scholarly incentive awards. He was recently awarded a US Patent for his “Flight Data Tracker” project. In 2018, he received SUNY Chancellor’s award for excellence in scholarship and creative activities. His research interests include network traffic engineering, network protocols and applications of networks. He has co-founded Frontiers of Information Technology conference and High Performance Optical Networks conference and he has been the publication chair of Conference on Collaborative Technologies and Systems for several years. He has edited two books on network applications and security and published numerous peer reviewed chapters, journal articles and conference proceedings papers. He can be reached at zubairi@fredonia.edu.

Dr. Imran Mahmood is currently serving as Assistant Professor and founding Director of the Center for Research in Modeling & Simulation (CRIMSON) at the Department of Computing, School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology, (Pakistan), since 2015. Earlier, he has worked as Assistant Professor at Dept. of Electrical Engineering, University of Engineering & Technology, Lahore; supervised ongoing research projects as Lead researcher at the Center for Simulation and Visual Analytics Research.
Dr Mahmood has earned a doctoral degree in Software & Computer Systems at the School of Information and Communication Technology (ICT), KTH-Royal Institute of Technology Sweden in 2013. He Earned Master degree in Software Engineering of Distributed Systems at School of Information and Communication Technology (ICT), KTH-Royal Institute of Technology Sweden in 2007.
His research interests include: Applied Modeling & Simulation, Distributed Artificial Intelligence, Multi-agent systems; Agent based Modeling Simulation; Analysis & formal verification of complex systems with several years of experience. He is the recipient of multiple research grants including: USPCAS-E grant ($30,000) and USPCAS-W ($30,000). He is an active member of ACM & Special Interest Group - Simulation (SIGSIM) and has collaborated with a number of international research groups including: Arizona Center for Integrative Modeling & Simulation – Arizona State University, USA; Systems Integrated Modeling and Simulation (SIMS), Georgia State University, USA and Modeling and Simulation Center (MODSIMMER), Middle East Technical University, Turkey. He has published quality research papers and delivered different workshops, lectures and invited talks; has served in IT industry for over 6 years earlier at various leading roles, at different private and governmental organizations. He can be reached at imran.mahmood@seecs.edu.pk

Title: Internet of Things (IoT) and Smart Systems

Abstract:
Smart systems are rapidly emerging in almost every aspect of life including smart healthcare, smart transportation, smart buildings, smart environment, smart agriculture, smart energy, smart cities, and many more. This has been made possible by advancement in developments of Internet of Things (IoT) and sensor networks. IoT provides an environment where everything around us is connected and is uniquely identifiable. This pervasive and ubiquitous environment of connectivity can be very conveniently used for collecting information enabling intelligent decision-making and thus leading to creation of smart systems.

Prof. Dr. Mohammad Ilyas
College of Engineering and Computer Science Florida Atlantic University, Boca Raton, Florida
Use of appropriate sensors in IoT provides capability of sensing any desired type of information from the surroundings including temperature, light, humidity, radiation, the presence or nature of biological organisms, geological features, seismic vibrations, specific types of computer data, and more. Recent advancements have made it possible to make things (as in IoT) or components small in size, powerful in processing, and energy efficient for operational longevity. The research and development in the field of IoT and sensor networks derive many concepts and protocols from distributed communication networks. However, based on their applications, there are unique technical aspects that need to be addressed. This talk will capture the current state of IoT, smart systems, and their applications in a variety of fields.

Speaker Biography:
Dr. Mohammad Ilyas is a Professor in the Department of Computer and Electrical Engineering and Computer Science, in the College of Engineering and Computer Science at Florida Atlantic University, Boca Raton, Florida. He has been with the College since 1983. From 1994 to 2000, he was Chair of the Department of Computer Science and Engineering. He served as Associate Dean for Research for the College from 2002 through 2011, and as Dean of the College from 2011 to 2017. From July 2004 to September 2005, he also served the University as Interim Associate Vice President for Research and Graduate Studies. During 1993-94 academic year, he was on sabbatical leave with the Department of Computer Engineering, King Saud University, Riyadh, Saudi Arabia.
Dr. Ilyas has earned four academic degrees from four different countries. He received his B.Sc. degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan, in 1976. From March 1977 to September 1978, he worked for the Water and Power Development Authority, Pakistan. In 1978, he was awarded a scholarship for his graduate studies and he completed his MS degree in Electrical and Electronic Engineering in June 1980 at Shiraz University, Shiraz, Iran. In September 1980, he joined the doctoral program at Queen's University in Kingston, Ontario, Canada. He completed his Ph.D. degree in 1983. His doctoral research was about switching and flow control techniques in computer communication networks. In 2015, he earned his second Ph.D. in Educational Leadership – Higher Education, from Florida Atlantic University, Boca Raton, Florida.
Dr. Ilyas has conducted successful research in the field of computer communication networks. His current research interests include wireless sensor networks, Internet of Things, smart systems, healthcare technologies. performance modeling, and simulation. He has published one book, 26 handbooks, and over 185 research articles. He has supervised 12 Ph.D. dissertations and 38 M.S. theses to completion. He has been a consultant to several national and international organizations. Dr. Ilyas is an active participant in several IEEE Technical committees and activities.
Dr. Ilyas is a senior member of IEEE, a member of ASEE, member of Global Engineering Deans Council (GEDC), and is listed as a Fulbright Specialist.
 


Title: Next Generation Ultra-Low-Power Technologies for Internet-of-Things (IOT), Wireless Sensor Network (WSN) and Artificial Intelligence (AI) Era

Abstract:
Extension of Moore’s curve down to sub-nanoscale dimensions would lead to the anticipated delivery of over 100 Billion transistors with hundreds of optimized cores on a single chip. However, CMOS technologies are moving towards the fundamental limits of performance, energy efficiency, and physical and material reliability. In Von Neumann computing architecture, the physical and functional separation of the central processing and memory units limits execution speed and imposes massive energy overheads. CMOS technology is, therefore, confined in the medium-performance and medium-power range due to the conflicting impacts of supply and frequency scaling on performance and energy efficiency.

Dr. Masud H Chowdhury
Computer Science and Electrical Engineering
University of Missouri – Kansas City
There has been a very high demand to study the two extreme ends of the design spectrum, namely, the ultra-low-power (ULP) with acceptable performance at one end and extremely high-performance with manageable power at the other. A third direction is emerging that would require very high-performance applications with very low power consumption. In the age of the Internet of Things (IoT), Artificial Intelligence (AI) and Wireless Sensor Network (WSN) the most critical aspects of all micro and nanoelectronic systems in the ULP domain are portability, reliability, longer lifetime, energy efficiency and rapid charging rate. Meeting these needs require research and development in two different fronts – (1) finding improved technologies that to ensure faster information processing speed and higher memory capacity at lower power consumption, and (2) identifying technologies and techniques to generate, store and manage energy at lower cost using eco-friendly but economically viable process.

Many ultra-low-power (ULP) applications would be operated in the subthreshold region of the conventional transistors leading to extremely low energy consumption that can be scavenged from the natural renewable sources. The biggest challenge for subthreshold design is to overcome the thermionic limit (60mV/decade) of the conventional bulk and emerging MOSFET technologies. This presentation will cover some critical research needs (both from the hardware and software perspective) regarding future ULP applications. One specific project is about an alternative technology for the next generation ULP logic, memory and sensing applications. The technical objectives of this project are to introduce a new field effect transistor (FET) technology to utilize the negative capacitance (NC) of ferroelectric materials and to demonstrate innovative circuits, systems and CAD development approaches using the new device. The proposed device is named Silicon on Ferroelectric Insulator Filed Effect Transistor (SOFFET). This project is currently funded by the National Science Foundation (NSF 2016 Grant # 1617443), Washington DC, USA.

Speaker Biography:

Title: Artificial Intelligence and Unmanned Aerial Vehicles

Abstract:
More than a decade ago, Unmanned Aerial Vehicles (UAVs) developed from a hobby into a standard platform in research and development. Current research interests in the field of UAVs range from basic control technology to intuitive user interaction and completely autonomous systems. Nowadays, affordable UAVs, especially quad rotors, can be found in daily life in a wide variety of applications. They are used to deliver goods quickly, to take private or industrial aerial photographs, for security inspections, security tracking or to detect remote or inaccessible locations. UAVs can play an important role for future smart cities. Currently still limited by their human controllers, the next generation of UAVs will be powered by artificial intelligence. This talk gives an introduction to UAVs, their aerodynamic properties and the associated control engineering.

Prof. Dr. Ulrich Schwanecke,
Director, Computer Vision and Mixed Reality Group
RheinMain University of Applied Sciences
Germany
In addition, various techniques from the field of artificial intelligence are presented, with the help of which UAVs can become autonomous in various areas, such as independent learning to fly, self-localization or mission planning.

Speaker Biography:

Title: Deep Learning in Natural Language Processing

Abstract:
Deep learning keeps booming, and has given us vastly improved models in various areas such as image recognition, sensor fusion, and natural language processing. This talk introduces key concepts behind the hype -- namely convolutional neural networks (CNNs) and representation learning -- in the area of natural language processing.
The first concept -- CNNs -- has been highly successful in image understanding tasks such as object category recognition or scene segmentation, and comes with strong robustness and transferability. The second one -- representation learning -- allows to learn semantics in vector form from large-scale text corpora and knowledge graphs.

Prof. Dr. Adrian Ulges,
RheinMain University of Applied Sciences
Germany
The talk will demonstrate applications of the above concepts in language understanding tasks such as information extraction or question answering.

Speaker Biography:

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